Lead Agentic AI Offensive Security Engineer

Lead Agentic AI Offensive Security Engineer

  

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

   

HPE’s Cybersecurity team is seeking a Lead Agentic AI Engineer to design, enhance and support  the technical direction of our AI-Enabled Offensive  security organization. Using your expertise in offensive security, you will architect and deliver secure, reliable, production-grade agentic AI platforms. These platforms will accelerate and scale cybersecurity triage, investigation, detection engineering, response, and other complex workflows.

Primary Responsibilities

• Own the reference architecture and engineering standards for production agentic AI systems.
• Design reusable agent execution harnesses that separate AI reasoning and planning from deterministic execution.
• Lead multi-agent workflows, state management, memory, tool calling, human-in-the-loop controls, and long-running processes.
• Define model-agnostic interfaces supporting commercial, cloud-hosted, and open-weight models, including routing, fallback, and workload-based selection.
• Architect retrieval, context, and memory services using technologies such as RAG, hybrid search, and vector databases.
• Establish strategies for MCP servers, A2A protocols, APIs, tool registries, and enterprise integrations.
• Define evaluation, observability, reliability, and security practices, including least privilege, sandboxing, authorization, secrets management, guardrails, auditability, and defenses against prompt injection, tool abuse, and data leakage.
• Lead cross-functional architecture decisions, mentor engineers, and communicate technical tradeoffs to senior leadership.

Experience and Skills

• Candidates should demonstrate deep expertise in at least three areas, with Agentic Systems & Harness Engineering required:
  • System Design & Architecture
  • Agentic Systems & Harness Engineering
  • Model-Agnostic AI & Context Engineering
  • Platform Engineering & Production Reliability
  • Evaluation, Security & AI Safety
• Experience with cybersecurity automation, security operations, offensive security, adversary simulation, reusable agent platforms, open-weight inference, or frameworks such as OWASP Top 10 for LLM Applications, MITRE ATLAS, MITRE ATT&CK, and NIST AI RMF is preferred.
• 10+ years of experience in software, platform, distributed-systems, or AI engineering, with demonstrated technical leadership on production systems.
• Proven experience architecting and operating production LLM-powered or agentic systems across their full lifecycle.
• Deep expertise in distributed systems, microservices, APIs, event-driven architectures, workflow and state management, scalability, concurrency, and fault tolerance.
• Strong hands-on experience with agent orchestration, planning, tool calling, delegation, memory, and long-running workflows using LangGraph, Claude Agent SDK, Semantic Kernel, AutoGen, or equivalent.
• Experience with foundation-model APIs and open-weight or self-hosted models, structured generation, and function calling.
• Expert Python and backend engineering skills, including REST/gRPC, messaging, Docker, Kubernetes, CI/CD, and cloud infrastructure.
• Practical experience with agent evaluation, trajectory and regression testing, AI security, and production reliability.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Job:

Information Technology

Job Level:

TCP_07

    

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 183,000 - 365,000 in Colorado // 197,000 - 395,000 in Massachusetts // 197,000 - 420,000 in California // 173,000 - 420,000 in North Carolina & Texas
The listed salary range reflects base salary. Variable incentives may also be offered.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is February 1 2027; this timeline is provided for transparency and internal planning purposes.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

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